Open AccessA Research on Routing and Spectrum Allocation Algorithm for Elastic Optical Networks Based on Deep Learning
Author(s) -
Cheng Liu
Publication year - 2021
Publication title -
frontiers in business, economics and management
Language(s) - English
Resource type - Journals
ISSN - 2766-824X
DOI - 10.54097/fbem.v2i3.182
Subject(s) - frequency allocation , computer science , fragmentation (computing) , blocking (statistics) , resource allocation , routing (electronic design automation) , computer network , spectrum (functional analysis) , adaptive routing , static routing , distributed computing , algorithm , routing protocol , physics , quantum mechanics , operating system
Dynamic allocation request and spectrum release will lead to spectrum fragmentation, which will affect the allocation of subsequent services and spectrum resource utilization of elastic optical network. This paper proposes a new routing and spectrum allocation algorithm based on deep learning, which will find the best routing and spectrum allocation method for a specific network, so as to improve the overall network performance. Simulation results show that compared with the traditional resource allocation strategy, the neural network model used in this paper can improve the degree of spectrum fragmentation and reduce the network blocking probability.